Benchmarking Characteristics of Steam Assisted Gravity Drainage (SAGD) Projects: Based On Interview Findings
Bibliographic record
Abstract
SAGD is a relatively new method of oil extraction and recovery in Alberta oil and gas industry and the number of new SAGD plants in Alberta is expected to increase within this decade. The paper discusses the interviews finding of benchmarking characteristics of the SAGD projects. The research reviewed and analysed definition of capacity, main features, life cycle/ phases of SAGD projects and also major risks associated with it. A qualitative research methodology was employed in investigating the characteristics of SAGD projects. Interviews were conducted with industry practitioners, which contained open-ended questions. The result found the definition of capacity of SAGD projects is barrels/day and from the lifecycle of SAGD projects procurement/cosntruction phase is 75% of the total project cost while other phase in total constiutues the 25% of the total cost of the project. On the schedule prospective, procurement/construction phase constitute the 55% of the total project duration. This method has the potential to contribute to a reduction in cost and schedule overruns and improves SAGD project performance. It is concluded that the results of the study will help in achieving a higher rate of productivity in the Alberta oil and gas industry.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".